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4M Analytics raises $65M Series C to map the subsurface 90% faster utility record research 400,000+ miles of utilities mapped in a single year Georgia DOT, MasTec & DPR among customers 93% customer satisfaction "The Google Maps of the subsurface" Founded 2019 - Austin, Texas 4M Analytics raises $65M Series C to map the subsurface 90% faster utility record research 400,000+ miles of utilities mapped in a single year Georgia DOT, MasTec & DPR among customers 93% customer satisfaction "The Google Maps of the subsurface" Founded 2019 - Austin, Texas
Company Dossier / Infrastructure & AI

4M Analytics

The AI company reconstructing a map of what's buried beneath our streets - before anyone breaks ground.

AI Utility Mapping B2B SaaS Founded 2019 Austin, TX
4M Analytics brand image with the tagline The fastest way to reliable utility data

4M ANALYTICS. The company's own brand plate - "The fastest way to reliable utility data" - framing customer scenes from the field and a live look at its Utility AI Platform. Source: 4M Analytics

The Story

We know the surface of Mars better than the ground under our own streets

Beneath every city runs a tangle no one fully documented: water and sewage lines, gas and electricity, fiber and old abandoned pipe. It grew faster than anyone bothered to map it. Even in wealthy countries, the blueprints are missing, wrong, or locked in a filing cabinet at a utility owner's office. When a crew guesses wrong, a backhoe finds out the hard way - a struck gas line, a severed fiber trunk, a service outage and an unbudgeted bill.

4M Analytics was built to remove the guesswork. Founded in 2019 by Itzik Malka, Nir Cohen, and Yoav Cohen, the company set out to do something that sounds impossible on first hearing: rebuild an accurate map of the underground from scratch. Its answer is the Utility AI Platform - a system that compiles millions of scattered public utility records, layers in satellite and street-level imagery, reads legacy blueprints and LiDAR, and fuses them into one continuously updated map of what sits above and below ground.

The company describes the ambition plainly: to be "the Google Maps of the subsurface." For a civil engineer, that means drawing a box around a project site and watching verified utility data populate in real time - instead of spending weeks calling agencies and stitching PDFs together. 4M reports that shift cuts utility record research time by roughly 90%.

90%
Faster utility record research
400K+
Miles of utilities mapped in a year
1,600+
Projects supported in 2024
93%
Reported customer satisfaction
What It Builds

One platform, three moving parts

Product

Utility AI Platform

An interactive, map-based workspace. Compile nationwide utility data instantly, see AI-detected poles, manholes and valves, and read owner and line details - material, size, install date - alongside land ownership, topography, floodplain and right-of-way. Import and export straight to GIS and CAD, with no lengthy setup.

Engine

Data Confluence Engine

The core that makes the map possible. It fuses millions of public records, legacy paper blueprints, satellite and horizontal imagery, government databases and LiDAR into a single, continuously updated picture of the subsurface and everything above it.

Insight

Conflict & Risk Analysis

GenAI-driven conflict mapping, excavator-strike prevention and permitting help. It surfaces utility conflicts and environmental constraints during design - when a fix costs a click - rather than in the field, when it costs a crew.

How It's Different

Research time, the old way vs. the 4M way

Manual SUE research
Weeks
Field locating trips
Days
4M Utility AI
~90% faster

Relative illustration of research effort based on 4M's stated 90% reduction in utility record research time. Traditional subsurface utility engineering (SUE) is field-by-field and manual; 4M front-loads verified data into the design phase.

I drew the box around the project site, and I literally watched as the utility data populated in real-time.
- Stuart Drahota, Group Leader, DPR Construction
Who Uses It

Engineers, contractors, DOTs

4M sells to the people responsible for building infrastructure without hitting what's already there: civil engineering firms, EPC and construction contractors, utilities, and public agencies including departments of transportation.

Georgia DOTMasTecHalffDPR ConstructionWSBWoolpertChen Moore & Associates
Problems It Solves

Fewer surprises underground

  • Weeks of manual utility record research collapsed into minutes
  • Excavator strikes and service outages prevented before the dig
  • Utility conflicts caught in design, not discovered in the trench
  • Scattered records from many owners unified into one map
  • Right-of-way, floodplain and ownership context in one view
Business Model

B2B SaaS, no heavy lift

4M runs on subscription access to its Utility AI Platform, pitched as an alternative to slow, manual subsurface research with no implementation cost or long setup. Estimated annual revenue sits near $16.3M, with a team of roughly 130.

The wager is simple: utility data is the cheapest risk to remove from a project, and the least fun to gather manually - so a platform that does it instantly earns its keep on every job.

Where It Fits

Against the field

4M sits between traditional subsurface utility engineering (SUE) firms and field-locating services like GPRS and 811 One-Call, GIS incumbents, and next-generation subsurface-sensing startups such as Exodigo.

Its edge is the confluence approach: instead of sending a truck to one site, it reconstructs nationwide coverage from records and imagery, then verifies it with AI computer vision - delivering the map before the field work begins.

Timeline

From idea to nationwide map

2019

Founded

Itzik Malka, Nir Cohen and Yoav Cohen start 4M to make the subsurface mappable and accessible.

2022

$45M Series A

A $30M extension led by Insight Partners and ITI brings the Series A to $45M and funds US expansion.

2024

Scale milestone

The platform supports 1,600+ projects, mapping 400,000+ miles of utilities across 1.3 million acres in a year.

2025

$65M Series C

4M raises a Series C to deepen nationwide coverage and platform capabilities.

Funding

$119M+ raised

Series A (incl. extension)
$45M
Sep 2022 - Insight Partners, ITI Venture Capital, Viola Ventures, F2 Venture Capital, plus Waze's Noam Bardin & Moovit's Nir Erez
Series C
$65M
Dec 2025 - to expand nationwide subsurface mapping coverage
The opportunity to support a company that brings valuable innovation to construction was a huge draw.
- Nikitas Koutoupes, Insight Partners
The hidden infrastructures below us are not mysteries, but accessible maps that drive humanity's progress.
- Itzik Malka, Co-Founder & CEO
Watch & Read

See the platform in action

Video

Product overview & demo

Search "4M Analytics Utility AI Platform" on YouTube for the company's product walkthrough and demo clips.

Watch on YouTube ↗

Interview

Words from the CEO

Itzik Malka on why the subsurface stayed a mystery for so long - and what it takes to map it.

Read the story ↗

Deep Dive

AI mapping for subsurface

How 4M reconstructs underground maps from imagery, records and object detection.

Read the blog ↗

FAQ

Questions, answered

What does 4M Analytics do?
It provides an AI-powered utility mapping platform that compiles public records, satellite imagery, and blueprints into a single, continuously updated map of subsurface and above-ground utilities.
Who uses 4M Analytics?
Civil engineers, construction and EPC contractors, utilities, and government agencies such as departments of transportation - including Georgia DOT, MasTec, DPR Construction, and Halff.
Who founded 4M Analytics and when?
It was founded in 2019 by Itzik Malka (CEO), Nir Cohen, and Yoav Cohen.
How much funding has 4M Analytics raised?
More than $119M across its rounds, including a $45M Series A and a $65M Series C, from investors such as Insight Partners and Viola Ventures.
How is 4M different from traditional utility locating?
Instead of slow, field-by-field manual research and physical locating, 4M uses AI and remote sensing to deliver instant, nationwide, verifiable utility data during design - cutting research time by roughly 90%.